A wireless communication system includes a network manager configured to wirelessly communicate with a plurality of wireless nodes of a wireless network. The network manager and at least one wireless node include a transceiver connected to transmit and receive wireless communication via an antenna. The network manager and/or the wireless node include a cognitive engine configured to receive information regarding an environment of the wireless network as input and, in response, generate configuration data as output. Subsequent communication on the wireless network is updated using the configuration data.
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2. The wireless node of claim 1, wherein the generated transmission configuration data includes at least one of a transmission channel frequency, a transmission data rate, a transmission modulation format, a transmission power level of the node transceiver, a transmission packet format, or a transmission channel coding scheme.
This invention relates to wireless communication systems, specifically to a wireless node configured to dynamically adjust its transmission parameters based on environmental conditions. The problem addressed is the need for efficient and adaptive wireless communication in varying environments, where fixed transmission settings may lead to suboptimal performance, interference, or energy waste. The wireless node includes a transceiver for sending and receiving data and a controller that generates transmission configuration data to optimize communication. The transmission configuration data includes at least one of a transmission channel frequency, transmission data rate, transmission modulation format, transmission power level, transmission packet format, or transmission channel coding scheme. The controller dynamically selects these parameters based on factors such as signal quality, interference levels, or energy constraints, ensuring reliable and efficient communication. The node may also include a sensor to monitor environmental conditions, such as temperature or humidity, which can affect signal propagation. The controller adjusts the transmission settings in real-time to maintain optimal performance under changing conditions. This adaptive approach improves data throughput, reduces power consumption, and minimizes interference in wireless networks.
3. The wireless node of claim 1, wherein wireless communication between the network manager and the wireless node is scheduled according to time synchronized channel hopping (TSCH) scheme.
This invention relates to wireless communication systems, specifically addressing the challenge of reliable and efficient data transmission in resource-constrained environments. The invention describes a wireless node designed to operate within a network managed by a central network manager. The wireless node is configured to communicate wirelessly with the network manager using a time-synchronized channel hopping (TSCH) scheme. TSCH is a communication protocol that improves reliability and energy efficiency by synchronizing communication times and hopping across different frequency channels to avoid interference and reduce collisions. The wireless node includes a transceiver for sending and receiving data, a processor for managing communication tasks, and a memory for storing operational data. The node is capable of establishing and maintaining a connection with the network manager, where the network manager controls the scheduling of communication slots. The TSCH scheme ensures that both the wireless node and the network manager agree on the timing and frequency channels used for communication, minimizing conflicts and optimizing bandwidth usage. This synchronization is particularly useful in industrial, IoT, or sensor network applications where low latency and high reliability are critical. The wireless node may also include additional features such as power management to conserve energy, error detection and correction mechanisms to ensure data integrity, and security protocols to protect transmitted data. The overall system enhances communication robustness in dynamic and interference-prone environments, making it suitable for applications requiring consistent and efficient wireless data exchange.
6. The wireless node of claim 5, wherein the wireless node is configured to receive an acknowledgment packet from the network manager in response to the data communication, and wherein the wireless node updates the environmental model using one or more characteristics obtained from receiving the acknowledgement packet.
A wireless node operates within a network to facilitate data communication while dynamically adapting to environmental conditions. The node includes a communication interface for transmitting and receiving data packets, a processing unit for managing data processing, and a memory storing an environmental model that represents the node's operating conditions. The node is configured to transmit data to a network manager and receive an acknowledgment packet in response. The acknowledgment packet contains characteristics such as signal strength, latency, or interference levels, which the node uses to update its environmental model. This adaptive process improves communication reliability by adjusting transmission parameters based on real-time environmental feedback. The environmental model may also incorporate additional sensor data, such as temperature or humidity, to further refine communication strategies. By continuously updating the model, the node optimizes performance in dynamic environments, reducing packet loss and enhancing energy efficiency. This approach is particularly useful in wireless sensor networks or IoT deployments where environmental factors significantly impact communication quality.
7. The wireless node of claim 6, wherein one or more characteristics obtained from receiving the acknowledgement packet include at least one of a received signal strength indicator or a signal-to-noise ratio.
A wireless node is configured to transmit data packets to a receiving device and receive acknowledgement packets in response. The wireless node includes a transmitter for sending data packets and a receiver for capturing acknowledgement packets from the receiving device. The wireless node further includes a processor that analyzes one or more characteristics of the received acknowledgement packets, such as a received signal strength indicator (RSSI) or a signal-to-noise ratio (SNR). These characteristics are used to assess the quality of the communication link between the wireless node and the receiving device. The wireless node may adjust transmission parameters, such as power levels or modulation schemes, based on the analyzed characteristics to optimize communication performance. This system improves reliability and efficiency in wireless communication by dynamically adapting to varying channel conditions. The invention addresses challenges in maintaining stable wireless links in environments with interference or signal degradation, ensuring robust data transmission.
8. The wireless node of claim 1, wherein the wireless node is positioned on an automobile and configured to sense parameters of a battery module.
A wireless node system is designed for monitoring and managing battery modules, particularly in automotive applications. The system addresses the need for real-time, wireless monitoring of battery parameters to ensure optimal performance, safety, and longevity. The wireless node is positioned on an automobile and is configured to sense various parameters of a battery module, such as voltage, current, temperature, and state of charge. These parameters are critical for assessing battery health, detecting faults, and optimizing energy usage. The node may also include communication capabilities to transmit data to a central monitoring system or other nodes in a network, enabling distributed sensing and control. The system may further incorporate processing capabilities to analyze sensed data locally, reducing latency and improving responsiveness. By integrating wireless sensing and communication, the system provides a scalable and flexible solution for battery management in electric or hybrid vehicles, where accurate and timely monitoring is essential for efficient operation and safety. The node may also be part of a larger network of sensors and controllers, working together to enhance overall vehicle performance and reliability.
10. The wireless communication system of claim 9, wherein the generated transmission configuration data includes at least one of a transmission channel frequency, a transmission data rate, a transmission modulation format, a transmission power level of the first transceiver, a transmission packet format, or a transmission channel coding scheme.
This invention relates to wireless communication systems designed to optimize data transmission between transceivers. The system addresses the challenge of efficiently configuring wireless transmissions to adapt to varying environmental conditions, network demands, and device capabilities. The system includes a first transceiver that generates transmission configuration data to control communication with a second transceiver. The configuration data specifies parameters that define how data is transmitted, such as the transmission channel frequency, data rate, modulation format, power level, packet format, or channel coding scheme. These parameters are dynamically adjusted to enhance transmission reliability, throughput, and energy efficiency. The system may also include a controller that processes feedback from the second transceiver to refine the transmission configuration in real time. By dynamically selecting optimal transmission settings, the system improves communication performance in diverse wireless environments, including scenarios with interference, signal degradation, or varying bandwidth requirements. The invention is particularly useful in applications requiring adaptive and efficient wireless data transfer, such as IoT networks, mobile communications, and industrial wireless systems.
11. The wireless communication system of claim 9, wherein the communication schedule is a time synchronized channel hopping (TSCH) schedule.
A wireless communication system is designed to manage communication between devices in a network, particularly in environments where interference or congestion can disrupt data transmission. The system addresses the challenge of maintaining reliable and efficient communication by implementing a structured communication schedule. This schedule ensures that devices transmit and receive data at predetermined times and frequencies, reducing collisions and improving overall network performance. The communication schedule is specifically a time-synchronized channel hopping (TSCH) schedule. TSCH is a method used in wireless networks to coordinate communication by synchronizing devices to a common time reference and hopping across different frequency channels according to a predefined pattern. This approach helps mitigate interference from other wireless devices operating in the same frequency band, enhances security by making transmissions harder to intercept, and improves energy efficiency by allowing devices to sleep when not actively communicating. The system may include multiple devices, each configured to follow the TSCH schedule to transmit and receive data. The schedule is dynamically adjusted based on network conditions, such as traffic load or interference levels, to optimize performance. Devices may also synchronize their clocks to ensure alignment with the schedule, further reducing the risk of communication conflicts. This structured approach ensures reliable data transmission in environments where traditional wireless communication methods may fail due to interference or congestion.
14. The wireless communication system of claim 13, wherein the network manager receives a data communication from a respective wireless node and updates the environmental model using one or more characteristics obtained from receiving the data communication.
The wireless communication system operates in environments where wireless nodes communicate with a network manager to optimize network performance. A key challenge is maintaining accurate environmental models that reflect real-time conditions, such as interference, signal propagation, and node mobility, to ensure reliable and efficient communication. The system addresses this by dynamically updating an environmental model based on data received from wireless nodes. When a wireless node transmits data to the network manager, the system extracts one or more characteristics from the communication, such as signal strength, latency, or interference patterns. These characteristics are then used to refine the environmental model, improving its accuracy and adaptability. This allows the network manager to make better-informed decisions regarding routing, resource allocation, and interference mitigation. The system ensures that the environmental model remains up-to-date, enhancing overall network reliability and performance in dynamic environments.
15. The wireless communication system of claim 14, wherein one or more characteristics obtained from receiving the data communication includes at least one of a received signal strength indicator or a signal-to-noise ratio.
A wireless communication system monitors and analyzes characteristics of received data communications to optimize network performance. The system captures and evaluates specific signal metrics, such as received signal strength indicator (RSSI) or signal-to-noise ratio (SNR), to assess communication quality. These metrics help identify signal degradation, interference, or other issues affecting data transmission. By continuously measuring and analyzing these characteristics, the system can dynamically adjust transmission parameters, such as power levels or modulation schemes, to maintain reliable communication links. The system may also use the collected data to improve network planning, optimize resource allocation, or detect potential security threats. This approach enhances overall network efficiency, reduces packet loss, and ensures robust connectivity in varying environmental conditions. The system is particularly useful in environments with high interference or fluctuating signal conditions, such as urban areas or industrial settings. By leveraging real-time signal analysis, the system adapts to changing conditions, improving data throughput and reliability.
16. The wireless communication system of claim 9, wherein the plurality of network nodes are positioned on an automobile and configured to sense parameters of a battery module.
This invention relates to a wireless communication system for monitoring battery modules in automobiles. The system addresses the challenge of efficiently collecting and transmitting battery performance data in real-time to optimize energy management and vehicle operation. The system includes multiple network nodes positioned on the automobile, each equipped with sensors to measure various parameters of the battery module, such as voltage, current, temperature, and state of charge. These nodes wirelessly transmit the sensed data to a central processing unit or a vehicle control system for analysis. The nodes may also communicate with each other to relay data, ensuring robust and reliable transmission even in environments with potential signal interference. The system may further include redundancy mechanisms to handle node failures or communication disruptions, ensuring continuous monitoring of the battery module. By providing real-time insights into battery health and performance, the system enables proactive maintenance, improves energy efficiency, and enhances the overall reliability of electric or hybrid vehicles. The nodes may be strategically placed near the battery module to minimize signal loss and ensure accurate data collection. The system may also support bidirectional communication, allowing the central unit to send control signals to the nodes or the battery module based on the analyzed data. This enables dynamic adjustments to charging or discharging processes to optimize battery lifespan and performance. The invention aims to provide a scalable and adaptable solution for battery monitoring in automotive applications.
18. The method of claim 17, wherein the wireless device is a network manager configured to wirelessly communicate with a plurality of wireless nodes of the wireless network according to the communication schedule, and wherein the updated communication configuration includes an updated communication schedule and transmission configuration data for communication between the network manager and the plurality of wireless nodes.
A wireless network system includes a network manager and multiple wireless nodes that communicate according to a predefined schedule. The network manager dynamically adjusts communication parameters to optimize network performance. The system addresses challenges in maintaining efficient and reliable wireless communication in environments where network conditions change frequently. The network manager generates and distributes an updated communication schedule and transmission configuration data to the wireless nodes. This ensures synchronized and conflict-free communication while adapting to varying network demands. The updated configuration may include adjustments to transmission timing, frequency, power levels, or data rates to improve efficiency and reduce interference. The system is particularly useful in industrial, medical, or IoT applications where reliable and low-latency communication is critical. The network manager monitors network performance and dynamically updates the communication schedule to accommodate new nodes, changing environmental conditions, or varying data traffic patterns. This adaptive approach enhances scalability and reliability in wireless networks.
19. The method of claim 18, wherein the communication schedule is a time synchronized channel hopping (TSCH) schedule.
A system and method for managing communication in a wireless network, particularly in environments with interference or limited bandwidth, involves dynamically adjusting communication schedules to optimize data transmission. The method addresses the challenge of maintaining reliable communication in congested or noisy wireless environments by dynamically adapting communication parameters based on real-time conditions. This includes adjusting transmission power, frequency channels, or timing to reduce interference and improve efficiency. The communication schedule is synchronized across network nodes to ensure coordinated data exchange, minimizing collisions and maximizing throughput. In one implementation, the communication schedule follows a time-synchronized channel hopping (TSCH) approach, where nodes periodically switch between different frequency channels in a synchronized manner. This technique helps mitigate interference by distributing transmissions across multiple channels and time slots, enhancing reliability in dynamic or high-interference environments. The system may also incorporate feedback mechanisms to further refine the schedule based on observed network performance, such as packet loss or latency. The method is applicable to various wireless networks, including industrial IoT, sensor networks, and other systems requiring robust and efficient communication.
20. The method of claim 17, wherein the wireless device is a wireless node configured to wirelessly communicate with a network manager of the wireless network, and wherein transmitting and receiving the subsequent wireless communication according to the updated communication configuration comprises the wireless node generating data communication for transmission by a node transceiver of the wireless node to the network manager using the generated configuration data.
A wireless communication system involves a wireless node that dynamically adjusts its communication configuration to optimize performance in a wireless network. The wireless node is configured to communicate with a network manager, which oversees network operations. The node includes a transceiver for sending and receiving wireless signals and a processor that generates configuration data to modify communication parameters such as transmission power, frequency, modulation scheme, or data rate. The node transmits data to the network manager using the updated configuration, ensuring efficient and reliable communication. This dynamic adjustment allows the node to adapt to changing network conditions, such as interference or signal strength variations, improving overall network performance. The system may also include additional nodes and managers, each capable of similar configuration updates to maintain optimal communication across the network. The method ensures seamless integration of the wireless node with the network manager while dynamically optimizing communication settings.
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November 12, 2019
April 2, 2024
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